If you need any assistance with this process, contact your Peak representative.


Contents


Before you start using Peak

When you sign in to Peak for the first time, you will be prompted to connect to both a new data lake and a data warehouse. You will need to complete this process before you can start using Peak.

If you decide to let Peak manage your data lake or data warehouse, the onboarding process will be quicker as Peak holds all of the security credentials that are required to make a connection.

If you opt to manage your own data lake or data warehouse, there are a few more steps required so that Peak can be configured to securely access your data storage infrastructure.


Data lake onboarding

During this process, you will choose the type of data lake connection that you want to use and then provide some configuration details before saving.

Currently, Peak supports Amazon S3 data lakes.

You can choose between Peak managed and Customer managed.

Peak managed

You choose the data lake region where your data will be physically stored. Peak then creates and manages the data lake for your organization.

This is the quickest process as Peak holds all of the security credentials that are required to make a connection.

Customer managed

You configure your Amazon S3 data lake to work with your organization.

During the process, you will need to create an IAM role in your Amazon S3 account so that Peak can connect to your S3 bucket. The Peak platform generates the IAM policy that you will need to use while creating the IAM role.

Further information

For a guide to data lake onboarding, see Connecting Peak to a data lake.


Data warehouse onboarding

During this process, you will choose the type of data warehouse that you want to use and then provide some configuration details before saving.

You can choose between Amazon Redshift and Snowflake.

Redshift data warehouse

You choose the region where your data warehouse is physically located.

Your data lake and data warehouse must be located in the same region.

Snowflake data warehouse

You add your Snowflake cluster details which include your account credentials, region and database schema information. Once this is done, you add details of your data lake so that the two can be linked. 

Your data lake and data warehouse must be located in the same region.

Further information

For a guide to data warehouse onboarding, see: